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3D Neural Network Visualization with TensorSpace
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour | 208 MB
Genre: eLearning | Language: English

TensorSpace is a neural network 3D visualization framework built by TensorFlow.js, Three.js, and Tween.js. TensorSpace provides Keras-like APIs to build deep learning layers, load pre-trained models, and generate a 3D visualization in the browser.

By applying TensorSpace API, it is more intuitive for Data Scientists to visualize and understand any pre-trained models built by TensorFlow, Keras, TensorFlow.js, and so on.

In this quick and short course, you'll learn how to present the inner workings of your pre-trained Neural Network models with easy-to-access 3D visualizations in a web browser.

By the end of this course, you'll be able to create compelling 3D visualizations that will show the neural network architecture and how pre-trained models work in real time with TensorSpace

The code bundle for this video course is available at -

Code:

https://github.com/PacktPublishing/3D-Neural-Network-Visualization-with-TensorSpace

Code:

http://nitroflare.com/view/9433DEFB6E5D4B3/3D_Neural_Network_Visualization_with_TensorSpace__Video_.rar

Code:

https://rapidgator.net/file/15aaa20b240d36e43021f5d4f94582b4/3D_Neural_Network_Visualization_with_TensorSpace_[Video].rar.html

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